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Utah FORGE: Discrete Fracture Network (DFN) Data

The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...

Finnila, A. and Podgorney, R. Golder Associates Inc.

Jun 24, 2020
66 Resources
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Retrospective Analysis of Geothermal Mineral Recovery and Domestic Resource Assessment References

This reference database in RIS format contains all of the references that were collected as part of our retrospective analysis of geothermal mineral recovery (REE and Li) activities and domestic resource assessment. The outputs detail the chemistry and molecular processes used in ...

Dobson, P. and Stringfellow, W. Lawrence Berkeley National Laboratory

Oct 20, 2021
4 Resources
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Western USA Assessment of High Value Materials in Geothermal Fluids and Produced Fluids Final Report

This report documents the results of investigations dealing with the concentrations and availabilities of strategic, critical and valuable materials (SCVM) in produced waters from geothermal and hydrocarbon reservoirs (50-250 degrees C) in Idaho, Nevada, New Mexico, Oregon, and Ut...

Simmons, S. Energy and Geoscience Institute at the University of Utah

Mar 18, 2019
2 Resources
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Ocean Thermal Energy Conversion (OTEC) Datasets

The data presented here were collected from the Ocean Thermal Extractable Energy Visualization (OTEEV) project. The OTEEV project focused on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources. This project explored the feasibili...

Langle, N. et al National Renewable Energy Laboratory

Nov 25, 2014
10 Resources
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TEAMER: Experimental Characterization of a Laboratory-Scaled Oscillating Surge Wave Energy Converter

This data is a result of an experimental campaign to characterize the hydrodynamics and performance of a laboratory-scale oscillating surge wave energy converter (OSWEC). The device was 85 cm wide, 1.4 meters tall, and 14 cm thick and was tested in the Sea Wave Environmental Lab (...

Lydon, B. et al University of Washington

Apr 05, 2024
9 Resources
0 Stars
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 Resources
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PoroTomo: BRAD and BRDY GPS Station RINEX Files March 26, 2015

This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of March 26, 2015. The data is formatted as compressed GNSS RINEX observation files, accessible through formatted CSV files, as well as in links to the complete daily time series data. ...

Kreemer, C. University of Wisconsin

Jan 01, 2015
7 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 1

The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...

Elbert, S. et al Pacific Northwest National Laboratory

Aug 05, 2024
29 Resources
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NREL Wave Energy Assessment for the United States and Puerto Rico

This dataset estimates the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Envi...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
9 Resources
0 Stars
In curation

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...

Beckers, K. et al National Renewable Energy Laboratory

Oct 20, 2021
6 Resources
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Research Report of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

This is a final report summarizing a one-year (2014-15) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and...

Jordan, T. et al Cornell University

Sep 30, 2015
22 Resources
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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...

Buster, G. et al Upflow

Jun 30, 2021
11 Resources
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Brady's Geothermal Field Metadata for DTS and DAS Surveys

Metadata for DTS and DAS datasets for both borehole 56-1 and trenched cables.

Coleman, T. University of Wisconsin

Mar 26, 2016
5 Resources
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Analysis of Existing Data from a Distributed Acoustic Sensing Experiment at Garner Valley, California

In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes noise cross-correlation functions (NCF) . Each file includes a NCF ...

Zeng, X. University of Wisconsin

Mar 26, 2015
37 Resources
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Brady Geothermal Field Borehole Pressure Data

This submission supersedes pressure data from March 2017 which can be found as a link in the submission resources. This submission contains 3 .csv files with time series pressure data in 3 observation wells at Brady Geothermal Field as part of the PoroTomo project. These pressure ...

Cardiff, M. and Lim, D. University of Wisconsin

Apr 01, 2016
4 Resources
0 Stars
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Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT

This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...

Jogineedi, R. et al GTI Energy

Aug 30, 2024
56 Resources
0 Stars
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Oahu Solar Measurement Grid (1-Year Archive): 1-Second Solar Irradiance; Oahu, Hawaii (Data)

Seventeen measurement stations in the south western region of the island of Oahu collected data at 1-second intervals over the course of a year. The sensors are located in a 1-kilometer grid and the information then can be used to predict what PV outputs might be at 1-second inte...

Sengupta and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
2 Resources
0 Stars
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Wind Energy Resource Data

NREL's Geographic Information System (GIS) team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and i...

Webmaster, . and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

Snake River Plain Play Fairway Analysis Favorability Models

This submission contains a link to two USGS data publications. Each data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis for Phase 1 and Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing scrip...

DeAngelo, J. et al Utah State University

Jun 01, 2020
4 Resources
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Brady's Geothermal Field Analysis of Pressure Data

*This submission provides corrections to GDR Submissions 844 and 845* Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology. The 3 *csv files containing pressure data are the corrected versions of the pressure dataset found in Submission 844. The ...

Lim, D. University of Wisconsin

Mar 17, 2017
6 Resources
0 Stars
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FERC Form 1 Electric Utility Cost, Energy Sales, Peak Demand, and Customer Count Data 1994-2019

This spreadsheet contains information reported by over 200 investor-owned utilities to the Federal Energy Regulatory Commission in the annual filing FERC Form 1 for the years 1994-2019. It contains 1) annual capital costs for new transmission, distribution, and administrative infr...

Fares, R. and King, C. National Renewable Energy Laboratory

Jan 04, 2017
2 Resources
0 Stars
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DEMO-FTES Test 1: Water Flow, Pressure, Temperature, and Electrical Conductivity Data

This dataset contains 1-second and hourly resolution water flow rate, pressure, temperature, and electrical conductivity data collected during Test 1 of the DEMO Fracture Thermal Energy Storage (FTES) project at the Sanford Underground Research Facility (SURF) between December 10,...

Burghardt, J. et al Pacific Northwest National Laboratory

Apr 16, 2025
4 Resources
0 Stars
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Unified Field Study 1 (UFS-1)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the UFS-1 experiment, performed October to December 201...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
16 Resources
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Raw Pressure Data from Observation Wells at Brady's Hot Springs

This .csv files contain the raw water pressure data from three observation wells during pumping tests performed in the Spring of 2016. Included is a "read me" file explaining the details of where and how the data were collected.